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Karakitsiou, Athanasia
Publications (10 of 24) Show all publications
Karakitsiou, A. & Migdalas, A. (2017). Locating facilities in a competitive environment (ed.). Paper presented at 4th World Congress on Global Optimization (WCGO), Gainesville, FL, February 22-25 2017. Optimization Letters, 11(5), 929-945
Open this publication in new window or tab >>Locating facilities in a competitive environment
2017 (English)In: Optimization Letters, ISSN 1862-4472, E-ISSN 1862-4480, Vol. 11, no 5, p. 929-945Article in journal (Refereed) Published
Abstract [en]

The research work dealing with the bi-level formulation of location problems is limited only to the competition among the locators, that is, it is supposed that either both the locator and the allocator are the same or the customer knows the optimality criterion of the locator and agrees passively with it. Customers’ preferences as well as externalities (such as road congestion, facility congestion, emissions etc) caused by the location decisions are either ignored or controlled by incorporating constraints in order to ensure the achievement of a predetermined target. However, this approach treats customers as irresolute beings. Thus, if, for example, the customers travel to the facilities to obtain the offered service, then there is no compulsion or intensive for them to attend the designated facility. This means that, once the facilities are open, what the locator wishes the customers to do may not coincide with their own wish and behavior. We suppose that the customers are involved in a Nash game in order to ensure what they conceive as the best level of services for themselves. In order to take into consideration the effects of such competition in the facilities location decisions we propose a bi-level programming approach to the problem.

Place, publisher, year, edition, pages
Springer, 2017
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-10217 (URN)10.1007/s11590-015-0963-7 (DOI)000401258300004 ()2-s2.0-84944704074 (Scopus ID)8fa78140-bf79-486b-b0ab-e64dc74e60c8 (Local ID)8fa78140-bf79-486b-b0ab-e64dc74e60c8 (Archive number)8fa78140-bf79-486b-b0ab-e64dc74e60c8 (OAI)
Conference
4th World Congress on Global Optimization (WCGO), Gainesville, FL, February 22-25 2017
Note

2017-05-12 (andbra);Konferensartikel i tidskrift

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-09-27Bibliographically approved
Karakitsiou, A. & Migdalas, A. (2016). Convex optimization problems in supply chain planning and their solution by a column generation method based on the Frank Wolfe method (ed.). Operational Research, 16(3), 401-421
Open this publication in new window or tab >>Convex optimization problems in supply chain planning and their solution by a column generation method based on the Frank Wolfe method
2016 (English)In: Operational Research, ISSN 1109-2858, E-ISSN 1866-1505, Vol. 16, no 3, p. 401-421Article in journal (Refereed) Published
Abstract [en]

Many problems in supply chain optimization concern the minimization of a differentiable convex objective function subject to a set of linear constraints. The aim of this work is to present a number of such problems and to propose an efficient method for their solution. The proposed method is based on improvements of the well known Frank–Wolfe algorithm. The computational results of the proposed algorithm demonstrate its effectiveness and efficiency

National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-14092 (URN)10.1007/s12351-015-0205-x (DOI)000386617600002 ()2-s2.0-84944704249 (Scopus ID)d68fd4b0-7e6e-499e-b287-b0a5da6aec86 (Local ID)d68fd4b0-7e6e-499e-b287-b0a5da6aec86 (Archive number)d68fd4b0-7e6e-499e-b287-b0a5da6aec86 (OAI)
Note

Validerad; 2016; Nivå 2; 2016-11-17 (rokbeg)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Karakitsiou, A. (2015). Competitive Facility Location with Competition of Customers (ed.). In: (Ed.), (Ed.), Modeling Discrete Competitive Facility Location: (pp. 41-49). Paper presented at . Cham: Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Competitive Facility Location with Competition of Customers
2015 (English)In: Modeling Discrete Competitive Facility Location, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 41-49Chapter in book (Refereed)
Abstract [en]

The research work dealing with the competitive location problems is limited only to the competition among the locators, that is, it is supposed that either both the locator and the allocator are the same or the customer knows the optimality criterion of the locator and agrees passively with it. Customers preferences as well as externalities (such as road congestion, facility congestion, emissions, etc.) caused by the location decisions are either ignored or “controlled” by incorporating constraints in order to “ensure” the achievement of a predetermined target. However, this approach treats customers as irresolute beings. Thus, if, for example, the customers travel to the facilities to obtain the offered service, then there is no compulsion or incentive for them to attend the designated facility. This means that, once the facilities are open, what the locator wishes the customers to do may not coincide with their own wish and behavior.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015
Series
SpringerBriefs in Optimization, ISSN 2190-8354
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-21502 (URN)10.1007/978-3-319-21341-5_5 (DOI)f6980a5f-4d8c-4771-aafc-85b1e3e7d80e (Local ID)978-3-319-21340-8 (ISBN)978-3-319-21341-5 (ISBN)f6980a5f-4d8c-4771-aafc-85b1e3e7d80e (Archive number)f6980a5f-4d8c-4771-aafc-85b1e3e7d80e (OAI)
Note
Godkänd; 2015; 20150818 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Karakitsiou, A. & Migdalas, A. (2015). Discrete bi-level facility models with competing customers (ed.). Paper presented at World Congress on Global Optimization : 22/02/2015 - 25/03/2015. Paper presented at World Congress on Global Optimization : 22/02/2015 - 25/03/2015.
Open this publication in new window or tab >>Discrete bi-level facility models with competing customers
2015 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

The research work dealing with the bi-level formulation of location problems is limited only to the competition among the locators, that is it is supposed that either both the locator and the allocator are the same or the customer (i.e., the user as a whole) knows the optimality criterion of the locator and agrees assively with it. Customers' preferences as well as externalities (such as roadcongestion, facility congestion, emissions etc) caused by the location decisions are either ignored or controlled by incorporating constraints in order to ensure the achievement of a predetermined target. However, this approach treats customers as irresolute beings. Thus, if, for example, the customers travel to the facilities to obtain the offered service, then there is no compulsion or intensive for them to attend the designated facility. This means that, once the facilities are open, what the locator wishes the customers to do may not coincide with their own wish and behavior. We suppose that the customers are involved in a Nash game in order to ensure what they conceive as the best level of services for themselves. In order to take into consideration the effects of such competition in the facilities location decisions we propose a bi-level programming approach to the problem.

National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-32848 (URN)77811417-ca4a-46fc-b14e-20829f7847de (Local ID)77811417-ca4a-46fc-b14e-20829f7847de (Archive number)77811417-ca4a-46fc-b14e-20829f7847de (OAI)
Conference
World Congress on Global Optimization : 22/02/2015 - 25/03/2015
Note
Godkänd; 2015; 20150306 (athkar)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-04-11Bibliographically approved
Karakitsiou, A. (2015). Discrete Competitive Facility Location: Modeling and Optimization Approaches (ed.). In: (Ed.), Athanasios Migdalas ; Athanasia Karakitsiou (Ed.), Optimization, Control, and Applications in the Information Age: In Honor of Panos M. Pardalos’s 60th Birthday. Paper presented at Conference on Optimization Control and Applications in the Information Age : Organized in honor of the 60th birthday of Professor Panos M. Pardalos 15/06/2014 - 20/06/2014 (pp. 153-169). Cham: Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Discrete Competitive Facility Location: Modeling and Optimization Approaches
2015 (English)In: Optimization, Control, and Applications in the Information Age: In Honor of Panos M. Pardalos’s 60th Birthday / [ed] Athanasios Migdalas ; Athanasia Karakitsiou, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 153-169Conference paper, Published paper (Refereed)
Abstract [en]

Competitive facility location problems are concerned with the following situation: a firm wants to locate a predefined number of facilities to serve customers located in some region where there already exist (or will be) other firms offering the same service. Both new and existing firms compete for optimizing their market share of profit. A discrete version of such problems arises when it is assumed that there are a (rather small) finite number of candidate locations and the markets consist of point demands. We review modeling and optimization approaches for this type of problems and we emphasize and develop the bi-level programming methodology.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015
Series
Springer Proceedings in Mathematics and Statistics, ISSN 2194-1017 ; 130
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-30137 (URN)10.1007/978-3-319-18567-5_8 (DOI)000380540400008 ()84947440365 (Scopus ID)3dfda2c8-a905-4943-bda9-e39976502492 (Local ID)978-3-319-18566-8 (ISBN)978-3-319-18567-5 (ISBN)3dfda2c8-a905-4943-bda9-e39976502492 (Archive number)3dfda2c8-a905-4943-bda9-e39976502492 (OAI)
Conference
Conference on Optimization Control and Applications in the Information Age : Organized in honor of the 60th birthday of Professor Panos M. Pardalos 15/06/2014 - 20/06/2014
Note
Validerad; 2016; Nivå 1; 20150818 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Karakitsiou, A. (2015). Introduction (ed.). Paper presented at . Cham: Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Introduction
2015 (English)Other (Other academic)
Place, publisher, year, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015. p. 4
Series
SpringerBriefs in Optimization, ISSN 2190-8354
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-33791 (URN)10.1007/978-3-319-21341-5_1 (DOI)c263fbb8-510b-4ed2-ad87-29089a2f9b65 (Local ID)978-3-319-21340-8 (ISBN)978-3-319-21341-5 (ISBN)c263fbb8-510b-4ed2-ad87-29089a2f9b65 (Archive number)c263fbb8-510b-4ed2-ad87-29089a2f9b65 (OAI)
Note
Godkänd; 2015; 20150818 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Karakitsiou, A. (2015). Modeling Discrete Competitive Facility Location. Paper presented at . Cham: Springer
Open this publication in new window or tab >>Modeling Discrete Competitive Facility Location
2015 (English)Book (Refereed)
Place, publisher, year, edition, pages
Cham: Springer, 2015. p. 54
Series
SpringerBriefs in Optimization, ISSN 2190-8354
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-16382 (URN)10.1007/978-3-319-21341-5 (DOI)2-s2.0-84955059856 (Scopus ID)01fd4ace-0c01-4b7d-9267-e1fe0b748c24 (Local ID)978-3-319-21340-8 (ISBN)978-3-319-21341-5 (ISBN)01fd4ace-0c01-4b7d-9267-e1fe0b748c24 (Archive number)01fd4ace-0c01-4b7d-9267-e1fe0b748c24 (OAI)
Note

Godkänd; 2015; 20150818 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Karakitsiou, A. & Mavrommati, A. (2015). Optimal Two-Part Tariff Licensing under Returns to Scale (ed.). Paper presented at . Asian Journal of Business and Management, 3(1), 77-83
Open this publication in new window or tab >>Optimal Two-Part Tariff Licensing under Returns to Scale
2015 (English)In: Asian Journal of Business and Management, ISSN 2321-2802, Vol. 3, no 1, p. 77-83Article in journal (Refereed) Published
Abstract [en]

In this study we investigate a two-part tariff licensing contract that enables an incumbent innovator to license a cost reducing innovation in a Cournot duopoly characterized by non-

National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-8341 (URN)6d82e757-dae4-47dd-a2c3-7da7e54ef9d3 (Local ID)6d82e757-dae4-47dd-a2c3-7da7e54ef9d3 (Archive number)6d82e757-dae4-47dd-a2c3-7da7e54ef9d3 (OAI)
Note
Godkänd; 2015; 20150218 (athkar)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Migdalas, A. & Karakitsiou, A. (2015). Preface (ed.). Paper presented at . Cham: Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Preface
2015 (English)Other (Other academic)
Abstract [en]

During June 15–20, 2014, a group of scientists gathered together in a conferenceon “Optimization, Control and Applications in the Information Age” in order tocelebrate and honor Panos M. Pardalos on the occasion of his 60th birthday. Themeeting took place at theMeliton Hotel of Porto Carras on the middle leg (Sithonia)of the Chalkidiki peninsula in Macedonia, northern Greece, a place of exquisitebeauty and one of Panos’s favorite places. The conference was organized by SergiyButenko and Athanasios Migdalas and was attended by scientists from all over theworld. More than 50 members of this “Panos’s club” presented talks during thisevent.This volume is dedicated to Panos M. Pardalos, on the occasion of his 60thbirthday. The articles collected in this volume are based on selected talks presentedduring the conference. Several members of the Panos’s club could not attendconference, but have submitted their papers to this volume in order to honor him.The papers published in this volume cover a wide range of topics and presentrecent developments and surveys in research fields to which Pardalos has activelycontributed and promoted during his career.In addition, Panos’s spouse, Rosemary Bakker, has written a brief biographydescribing Panos’s exciting journey from a pastoral village on the high mountainsin Thessaly, central Greece, to a Distinguished Professorship at the University ofFlorida, that is, Panos’s own Odyssey. We therefore dedicate to him the first versesof Homer’s Odyssey and Cavaphes’ poem “Ithaka” believing that they accuratelydescribe Panos’s past, his present, and his future discovery voyages.We are indebted to Springer publishers and particularly to Razia Amzad for theirsupport in making the publication of this volume possible.

Place, publisher, year, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015. p. 2
Series
Springer Proceedings in Mathematics and Statistics, ISSN 2194-1017 ; 130
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-33508 (URN)56bbfdf7-4b4c-4353-b4ed-34e18d44ab22 (Local ID)978-3-319-18566-8 (ISBN)978-3-319-18567-5 (ISBN)56bbfdf7-4b4c-4353-b4ed-34e18d44ab22 (Archive number)56bbfdf7-4b4c-4353-b4ed-34e18d44ab22 (OAI)
Note
Godkänd; 2015; 20151130 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-04-11Bibliographically approved
Karakitsiou, A. (2015). Sequential Competitive Facility Location Problems (ed.). In: (Ed.), (Ed.), Modeling Discrete Competitive Facility Location: (pp. 15-32). Paper presented at . Cham: Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Sequential Competitive Facility Location Problems
2015 (English)In: Modeling Discrete Competitive Facility Location, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 15-32Chapter in book (Refereed)
Abstract [en]

The formalization of this class of problem and the fundamental complexity results were established by Hakimi [28]. Following the game introduced by von Stackelberg [76], Hakimi [28] presented the two basic problems in sequential location analysis, the centroid and medianoid problems. These two problems are faced by the leader and the follower, respectively. The leader attempts to locate p( ≥ 1) facilities knowing that a follower will in turn locate his r( ≥ 1) facilities based on the leader’s chosen locations; this is the (r | p)-centroid problem. The follower knows the set X p that indicates where the leader’s facilities are located, and solves an (r | X p )-medianoid problem. Customers choose among the facilities according to a function of the distance between themselves and the facilities, preferring always the closest. This is the so-called binary customer choice. The formulation of the problems is based on the assumption that co-location is not allowed and if, by any chance the distance from a customer to the closest facility of the two competitors is the same, the customer always prefers the leader’s facility. The demand of the customer is also considered to be inelastic with respect to the distance traveled.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015
Series
SpringerBriefs in Optimization, ISSN 2190-8354
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
urn:nbn:se:ltu:diva-20669 (URN)10.1007/978-3-319-21341-5_3 (DOI)6f09b068-de3d-4992-9856-6e5d4388eee3 (Local ID)978-3-319-21340-8 (ISBN)978-3-319-21341-5 (ISBN)6f09b068-de3d-4992-9856-6e5d4388eee3 (Archive number)6f09b068-de3d-4992-9856-6e5d4388eee3 (OAI)
Note
Godkänd; 2015; 20150818 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
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